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Published August 4, 2023 | Version v1
Journal article Open

Predicting Success: The Impact of Machine Learning on Social Media Ad Classification

Creators

  • 1. Student,Alliance University, Bangalore, Karnataka, India
  • 2. Associate Professor, Ashoka Women's Engineering College, kurnool, Andhra Pradesh, India
  • 3. Assistant Professor, Ashoka Women's Engineering College, kurnool, Andhra Pradesh, India
  • 4. Professor, Ashoka Women's Engineering College, kurnool, Andhra Pradesh, India

Description

The categorization of social media advertisements is of paramount importance in gauging the probability of engaging the intended audience and driving product purchases. Leveraging data science in marketing for this purpose holds tremendous promise in refining ad targeting strategies. This article seeks to shed light on the analysis of social media ads to achieve efficient audience classification. By comprehending the factors that impact target audience behaviour, marketers can fine-tune their ad campaigns and boost customer conversion rates. Employing data science methodologies, this research provides valuable insights into effectively scrutinizing social media ads and achieving more precise target audience classification.

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References

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